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Open-loop controller

About: Open-loop controller is a research topic. Over the lifetime, 16148 publications have been published within this topic receiving 224014 citations. The topic is also known as: non-feedback controller & open-loop control law.


Papers
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Patent
15 Oct 1991
TL;DR: In this article, a method for tuning P-, I-and D-type controller which is used in combination or individually to control a variable y of a process in a feedback system, which comprises making the integrating (I) and derivative (D) unit of the controller inoperative, increasing the proportional control gain K until a desired oscillation is obtained, calculating the ultimate gain Ku and ultimate period Tu in accordance with the amplitude and period measured from the oscillation, and setting the parameters of the PID controller in dependence upon the Ku and Tu values, wherein the control signal U resulting from
Abstract: A method for tuning P-, I- and D-type controller which is used in combination or individually to control a variable y of a process in a feedback system, which comprises making the integrating (I) and derivative (D) unit of the controller inoperative; increasing the proportional control gain K until a desired oscillation is obtained; calculating the ultimate gain Ku and ultimate period Tu in accordance with the amplitude and period measured from the oscillation; and setting the parameters of the PID controller in dependence upon the Ku and Tu values, wherein the control signal U resulting from the controller gain K is restricted to a range from a lower limit Umin to an upper limit Umax to avoid the system being operated in an unstable condition. An apparatus suitable for performing the present method is also disclosed.

56 citations

Journal ArticleDOI
TL;DR: In this article, a B-spline neural network is used to model the nonlinearity of the SRM and estimate back electromotive force and incremental inductance on-line in real time.
Abstract: To reduce torque ripple in a switched reluctance motor (SRM) by current profiling, a high-performance current controller is necessary. This study presents a high-performance current controller for SRM drives. A B-spline neural network is used to model the non-linearity of the SRM and estimate back electromotive force (EMF) and incremental inductance on-line in real time. The on-line modelling scheme does not require a priori knowledge of the machine's electromagnetic characteristics. Based on the on-line estimated parameters, a current controller with adjustable PI gains and back-EMF decoupling is implemented. The performance of the current controller has been demonstrated in simulation and experimentally using a four-phase 8/6 550'W SRM drive system.

56 citations

Proceedings ArticleDOI
23 Mar 2009
TL;DR: In this article, the authors developed a nonlinear position controller for a quadrotor VTOL aircraft using feedback linearization with dynamic extension, which completely decouples and linearizes the nonlinear dynamical model of the aircraft.
Abstract: The contribution of this paper is the development of a nonlinear position controller for a quadrotor VTOL aircraft using feedback linearization with dynamic extension. The developed controller completely decouples and linearizes the nonlinear dynamical model of the aircraft. The use of dynamic extension has resulted into a fourteenth dimensional controller for the the twelve dimensional state system. Simulation results are provided to demonstrate the effectiveness of the nonlinear controller in tracking time-parameterized trajectories in inertial frame with internal stability.

56 citations

Proceedings ArticleDOI
16 May 1998
TL;DR: A neural network system which executes identification of robot dynamics and controller adaptation in parallel with robot control and is designed to be suitable for a computer system with parallel processing ability.
Abstract: Describes a neural network system which executes identification of robot dynamics and controller adaptation in parallel with robot control. The system consists of two parts: real-world part and imaginary-world part. The real-world part is a feedback control system for the actual robot. In the imaginary-world part, the model of robot and the controller are adjusted continuously in order to deal with the change of dynamic property caused by disturbance and so on. The system is designed to be suitable for a computer system with parallel processing ability. In the paper, adaptability of the controller system is investigated by heading keeping and path following experiments on the condition that unknown disturbances are given to the robot.

55 citations

Journal ArticleDOI
Nusret Tan1
TL;DR: In this article, a graphical method for the computation of all stabilizing PI-PD controllers is given, based on plotting the stability boundary locus, which is a locus dependent on the parameters of the controller and frequency, in the parameter plane.
Abstract: The PI-PD controller structure provides an excellent four-parameter controller for control of integrating, unstable and resonant processes to set point changes while the conventional PID controller has limitations in controlling such systems. In this paper, a graphical method for the computation of all stabilizing PI-PD controllers is given. The proposed method is based on plotting the stability boundary locus, which is a locus dependent on the parameters of the controller and frequency, in the parameter plane. The stability boundary loci are first obtained in the (, ) df KK and (, ) p i KK planes and then it is shown that all the stabilizing values of the parameters of a PI-PD controller can be found. Computation of stabilizing PI-PD controllers which achieve user specified gain and phase margins is also studied. The method is used to design robust PI-PD controllers for control systems with parametric uncertainties. A design procedure for interval control systems is proposed. Examples are given to show the benefit of the method presented.

55 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202371
2022124
202167
202079
201998
2018155